Uses of Interface
de.lmu.ifi.dbs.elki.database.ids.DBIDArrayIter

Packages that use DBIDArrayIter

Package	Description
de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering	Biclustering algorithms
de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical	Hierarchical agglomerative clustering (HAC).
de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction	Extraction of partitional clusterings from hierarchical results.
de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans	K-means clustering and variations
de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization	Initialization strategies for k-means.
de.lmu.ifi.dbs.elki.algorithm.clustering.optics	OPTICS family of clustering algorithms.
de.lmu.ifi.dbs.elki.algorithm.outlier.anglebased	Angle-based outlier detection algorithms.
de.lmu.ifi.dbs.elki.algorithm.outlier.distance	Distance-based outlier detection algorithms, such as DBOutlier and kNN.
de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic	Outlier detection algorithms based on intrinsic dimensionality.
de.lmu.ifi.dbs.elki.algorithm.projection	Data projections (see also preprocessing filters for basic projections).
de.lmu.ifi.dbs.elki.algorithm.timeseries	Algorithms for change point detection in time series.
de.lmu.ifi.dbs.elki.database.ids	Database object identification and ID group handling API.
de.lmu.ifi.dbs.elki.database.ids.integer	Integer-based DBID implementation -- do not use directly - always use DBIDUtil.
de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel	Kernel functions.
de.lmu.ifi.dbs.elki.index.tree.spatial.kd	K-d-tree and variants

Uses of DBIDArrayIter in de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering declared as DBIDArrayIter

Modifier and Type	Field and Description
private DBIDArrayIter	AbstractBiclustering.iter Iterator to use for more efficient random access.

Uses of DBIDArrayIter in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical declared as DBIDArrayIter

Modifier and Type	Field and Description
DBIDArrayIter	MatrixParadigm.ix Two iterators to reference to objects.
DBIDArrayIter	MatrixParadigm.iy Two iterators to reference to objects.
private DBIDArrayIter	AbstractHDBSCAN.HDBSCANAdapter.p Iterators for accessing the data objects.
private DBIDArrayIter	AbstractHDBSCAN.HDBSCANAdapter.q Iterators for accessing the data objects.

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical with parameters of type DBIDArrayIter

Modifier and Type	Method and Description
private void	CLINK.clinkstep3(DBIDRef id, DBIDArrayIter i, int n, WritableDBIDDataStore pi, WritableDoubleDataStore lambda, WritableDoubleDataStore m) Third step: Determine the values for P and L
private void	CLINK.clinkstep4567(DBIDRef id, ArrayDBIDs ids, DBIDArrayIter it, int n, WritableDBIDDataStore pi, WritableDoubleDataStore lambda, WritableDoubleDataStore m) Fourth to seventh step of CLINK: find best insertion
private void	CLINK.clinkstep8(DBIDRef id, DBIDArrayIter it, int n, WritableDBIDDataStore pi, WritableDoubleDataStore lambda, WritableDoubleDataStore m) Update hierarchy.
static int	NNChain.findUnlinked(int pos, int end, DBIDArrayIter ix, PointerHierarchyRepresentationBuilder builder) Find an unlinked object.
protected void	CLINK.process(DBIDRef id, ArrayDBIDs ids, DBIDArrayIter it, int n, WritableDBIDDataStore pi, WritableDoubleDataStore lambda, WritableDoubleDataStore m) CLINK main loop, based on the SLINK main loop.
protected void	SLINK.process(DBIDRef id, ArrayDBIDs ids, DBIDArrayIter it, int n, WritableDBIDDataStore pi, WritableDoubleDataStore lambda, WritableDoubleDataStore m) SLINK main loop.
protected static int	AGNES.shrinkActiveSet(DBIDArrayIter ix, PointerHierarchyRepresentationBuilder builder, int end, int x) Shrink the active set: if the last x objects are all merged, we can reduce the working size accordingly.
private void	SLINK.slinkstep3(DBIDRef id, DBIDArrayIter it, int n, WritableDBIDDataStore pi, WritableDoubleDataStore lambda, WritableDoubleDataStore m) Third step: Determine the values for P and L
private void	SLINK.slinkstep4(DBIDRef id, DBIDArrayIter it, int n, WritableDBIDDataStore pi, WritableDoubleDataStore lambda) Fourth step: Actualize the clusters if necessary
private void	SLINK.step2(DBIDRef id, DBIDArrayIter it, int n, DistanceQuery<? super O> distQuery, WritableDoubleDataStore m) Second step: Determine the pairwise distances from all objects in the pointer representation to the new object with the specified id.
private void	SLINK.step2primitive(DBIDRef id, DBIDArrayIter it, int n, Relation<? extends O> relation, PrimitiveDistanceFunction<? super O> distFunc, WritableDoubleDataStore m) Second step: Determine the pairwise distances from all objects in the pointer representation to the new object with the specified id.
protected void	AnderbergHierarchicalClustering.updateMatrix(int size, double[] scratch, DBIDArrayIter ij, double[] bestd, int[] besti, PointerHierarchyRepresentationBuilder builder, double mindist, int x, int y, int sizex, int sizey) Update the scratch distance matrix.

Uses of DBIDArrayIter in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction with parameters of type DBIDArrayIter

Modifier and Type	Method and Description
private Clustering<DendrogramModel>	AbstractCutDendrogram.Instance.buildFlat(DBIDArrayIter it, int split, FiniteProgress progress) Build a flat clustering.
private Clustering<DendrogramModel>	AbstractCutDendrogram.Instance.buildHierarchical(DBIDArrayIter it, int split, FiniteProgress progress) Build a hierarchical clustering.
private void	AbstractCutDendrogram.Instance.buildLeafClusters(DBIDArrayIter it, int split, FiniteProgress progress) Prepare the leaf clusters by executing the first (size - 1 - split) merges.
protected int	CutDendrogramByNumberOfClusters.Instance.findSplit(DBIDArrayIter it)
protected int	CutDendrogramByHeight.Instance.findSplit(DBIDArrayIter it)
protected abstract int	AbstractCutDendrogram.Instance.findSplit(DBIDArrayIter it) Find the splitting point in the ordered DBIDs list.

Uses of DBIDArrayIter in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans with parameters of type DBIDArrayIter

Modifier and Type	Method and Description
protected double	KMedoidsPark.assignToNearestCluster(DBIDArrayIter miter, double[] dsum, java.util.List<? extends ModifiableDBIDs> clusters, DistanceQuery<V> distQ) Returns a list of clusters.
protected void	KMedoidsFastPAM.Instance.findBestSwaps(DBIDArrayIter m, ArrayModifiableDBIDs bestids, double[] best, double[] cost) Find the best swaps.
protected void	KMedoidsFastPAM1.Instance.updateAssignment(ArrayModifiableDBIDs medoids, DBIDArrayIter miter, DBIDRef h, int m) Update an existing cluster assignment.
private int	KMedoidsFastPAM1.Instance.updateSecondNearest(DBIDRef j, DBIDArrayIter medoids, int h, double dist_h, int n) Find the second nearest medoid.

Uses of DBIDArrayIter in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization with parameters of type DBIDArrayIter

Modifier and Type	Method and Description
protected static double	LABInitialMeans.getMinDist(DBIDArrayIter j, DistanceQuery<?> distQ, DBIDArrayIter mi, WritableDoubleDataStore mindist) Get the minimum distance to previous medoids.

Uses of DBIDArrayIter in de.lmu.ifi.dbs.elki.algorithm.clustering.optics

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering.optics declared as DBIDArrayIter

Modifier and Type	Field and Description
private DBIDArrayIter	OPTICSXi.SteepScanPosition.cur Variable for accessing.
private DBIDArrayIter	OPTICSXi.SteepScanPosition.next Variable for accessing.

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.optics that return DBIDArrayIter

Modifier and Type	Method and Description
DBIDArrayIter	ClusterOrder.iter() Get an iterator.

Uses of DBIDArrayIter in de.lmu.ifi.dbs.elki.algorithm.outlier.anglebased

Methods in de.lmu.ifi.dbs.elki.algorithm.outlier.anglebased with parameters of type DBIDArrayIter

Modifier and Type	Method and Description
protected double	ABOD.computeABOF(KernelMatrix kernelMatrix, DBIDRef pA, DBIDArrayIter pB, DBIDArrayIter pC, MeanVariance s) Compute the exact ABOF value.

Uses of DBIDArrayIter in de.lmu.ifi.dbs.elki.algorithm.outlier.distance

Methods in de.lmu.ifi.dbs.elki.algorithm.outlier.distance with parameters of type DBIDArrayIter

Modifier and Type	Method and Description
static void	SOS.nominateNeighbors(DBIDIter ignore, DBIDArrayIter di, double[] p, double norm, WritableDoubleDataStore scores) Vote for neighbors not being outliers.
static double	SOS.sumOfProbabilities(DBIDIter ignore, DBIDArrayIter di, double[] p) Compute the sum of probabilities, stop at first 0, ignore query object.

Uses of DBIDArrayIter in de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic

Methods in de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic with parameters of type DBIDArrayIter

Modifier and Type	Method and Description
static void	ISOS.nominateNeighbors(DBIDIter ignore, DBIDArrayIter di, double[] p, double norm, WritableDoubleDataStore scores) Vote for neighbors not being outliers.

Uses of DBIDArrayIter in de.lmu.ifi.dbs.elki.algorithm.projection

Methods in de.lmu.ifi.dbs.elki.algorithm.projection that return DBIDArrayIter

Modifier and Type	Method and Description
DBIDArrayIter	DenseAffinityMatrix.iterDBIDs()
DBIDArrayIter	SparseAffinityMatrix.iterDBIDs()
DBIDArrayIter	AffinityMatrix.iterDBIDs() Array iterator over the stored objects.

Uses of DBIDArrayIter in de.lmu.ifi.dbs.elki.algorithm.timeseries

Fields in de.lmu.ifi.dbs.elki.algorithm.timeseries declared as DBIDArrayIter

Modifier and Type	Field and Description
(package private) DBIDArrayIter	OfflineChangePointDetectionAlgorithm.Instance.iter Iterator to reference data positions.

Uses of DBIDArrayIter in de.lmu.ifi.dbs.elki.database.ids

Subinterfaces of DBIDArrayIter in de.lmu.ifi.dbs.elki.database.ids

Modifier and Type	Interface and Description
interface	DBIDArrayMIter Modifiable array iterator.
interface	DoubleDBIDListIter Iterator over double-DBID pairs results.
interface	DoubleDBIDListMIter Modifiable DBIDList iterator.

Classes in de.lmu.ifi.dbs.elki.database.ids that implement DBIDArrayIter

Modifier and Type	Class and Description
protected static class	EmptyDBIDs.EmptyDBIDIterator Iterator for empty DBIDs-

Methods in de.lmu.ifi.dbs.elki.database.ids that return DBIDArrayIter

Modifier and Type	Method and Description
DBIDArrayIter	DBIDArrayIter.advance()
DBIDArrayIter	DBIDArrayIter.advance(int count)
DBIDArrayIter	ArrayDBIDs.iter() Iterable
DBIDArrayIter	DBIDArrayIter.retract()
DBIDArrayIter	DBIDArrayIter.seek(int off)

Methods in de.lmu.ifi.dbs.elki.database.ids with parameters of type DBIDArrayIter

Modifier and Type	Method and Description
private static void	QuickSelectDBIDs.insertionSort(ArrayModifiableDBIDs data, java.util.Comparator<? super DBIDRef> comparator, int start, int end, DBIDArrayIter iter1, DBIDArrayIter iter2) Sort a small array using repetitive insertion sort.

Uses of DBIDArrayIter in de.lmu.ifi.dbs.elki.database.ids.integer

Subinterfaces of DBIDArrayIter in de.lmu.ifi.dbs.elki.database.ids.integer

Modifier and Type	Interface and Description
interface	DoubleIntegerDBIDListIter Combination interface of the DoubleDBIDListIter with IntegerDBIDIter.
(package private) interface	DoubleIntegerDBIDListMIter Combination interface for modifiable iterators.
(package private) interface	IntegerDBIDArrayIter Modifiable integer array iterator.
(package private) interface	IntegerDBIDArrayMIter Modifiable integer array iterator.

Classes in de.lmu.ifi.dbs.elki.database.ids.integer that implement DBIDArrayIter

Modifier and Type	Class and Description
private class	ArrayModifiableIntegerDBIDs.Itr Iterator class.
private class	ArrayModifiableIntegerDBIDs.Slice.SliceItr Iterator class.
protected class	ArrayStaticIntegerDBIDs.Itr DBID iterator in ELKI/C style.
private class	ArrayStaticIntegerDBIDs.Slice.SliceItr Iterator class.
private class	DoubleIntegerDBIDArrayList.Itr List iterator.
private class	DoubleIntegerDBIDKNNHeap.UnorderedIter Iterate over all objects in the heap, not ordered.
private class	DoubleIntegerDBIDSubList.Itr Iterator for the sublist.
protected class	IntegerDBID.Itr Pseudo iterator for DBIDs interface.
private class	IntegerDBIDKNNSubList.Itr Iterator for the sublist.
private static class	IntegerDBIDPair.Itr Iterator.
private class	IntegerDBIDPair.Slice.SliceItr Iterator class.
private static class	IntegerDBIDRange.Itr Iterator in ELKI/C++ style.
protected class	IntegerDBIDVar.Itr Pseudo iterator for DBIDs interface.
private class	UnmodifiableIntegerArrayDBIDs.Itr Make an existing DBIDMIter unmodifiable.

Methods in de.lmu.ifi.dbs.elki.database.ids.integer that return DBIDArrayIter

Modifier and Type	Method and Description
DBIDArrayIter	UnmodifiableIntegerArrayDBIDs.Itr.advance()
DBIDArrayIter	IntegerDBIDPair.Itr.advance(int count)
DBIDArrayIter	UnmodifiableIntegerArrayDBIDs.Itr.advance(int count)
DBIDArrayIter	IntegerDBIDPair.Itr.retract()
DBIDArrayIter	UnmodifiableIntegerArrayDBIDs.Itr.retract()
DBIDArrayIter	IntegerDBIDPair.Itr.seek(int off)
DBIDArrayIter	UnmodifiableIntegerArrayDBIDs.Itr.seek(int off)

Uses of DBIDArrayIter in de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel

Methods in de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel that return DBIDArrayIter

Modifier and Type	Method and Description
DBIDArrayIter	KernelMatrix.DBIDMap.iter() Get an array iterator, for scanning.
DBIDArrayIter	KernelMatrix.RangeMap.iter()
DBIDArrayIter	KernelMatrix.SortedArrayMap.iter()

Uses of DBIDArrayIter in de.lmu.ifi.dbs.elki.index.tree.spatial.kd

Methods in de.lmu.ifi.dbs.elki.index.tree.spatial.kd with parameters of type DBIDArrayIter

Modifier and Type	Method and Description
private double	MinimalisticMemoryKDTree.KDTreeKNNQuery.kdKNNSearch(int left, int right, int axis, O query, KNNHeap knns, DBIDArrayIter iter, double maxdist) Perform a kNN search on the kd-tree.
private void	MinimalisticMemoryKDTree.KDTreeRangeQuery.kdRangeSearch(int left, int right, int axis, O query, ModifiableDoubleDBIDList res, DBIDArrayIter iter, double radius) Perform a kNN search on the kd-tree.